View LSEG's Lipper Fund Research Database, providing independent fund content to benchmark fund performance, manage risk, and more.

Browse LSEG's I/B/E/S Estimates, discover our range of data, indices & benchmarks. Our Data Catalogue offers unrivalled data and delivery mechanisms.

The global financial database market is experiencing robust growth, driven by increasing demand for real-time data and advanced analytics across various sectors. The market, estimated at $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 8% from 2025 to 2033, reaching approximately $28 billion by 2033. This expansion is fueled by several key factors: the proliferation of algorithmic trading and quantitative analysis necessitating high-frequency data feeds; the growing adoption of cloud-based solutions enhancing accessibility and scalability; and the increasing regulatory scrutiny demanding robust and reliable financial data for compliance purposes. The market segmentation reveals a strong preference for real-time databases across both personal and commercial applications, reflecting the time-sensitive nature of financial decisions. Key players like Bloomberg, Refinitiv (formerly Thomson Reuters), and FactSet maintain significant market share due to their established brand reputation and comprehensive data offerings. However, the emergence of innovative fintech companies and the increasing availability of open-source data platforms are expected to intensify competition and foster market disruption. The geographical distribution of the market reveals North America as the dominant region, followed by Europe and Asia-Pacific. However, the Asia-Pacific region is poised for significant growth, driven by expanding financial markets in countries like China and India. While the market faces restraints such as data security concerns, increasing data costs, and complexities in data integration, the overall trend points toward sustained expansion. The continuous development of sophisticated analytical tools and the growing need for data-driven decision-making will continue to drive the adoption of financial databases across various user segments and geographies, shaping the competitive landscape in the coming years.

The dataset contains: - the first differences of logarithms of CDS spreads and the first differences of ESG scores of US companies from 2016 to 2023; - Refinitiv Instrument Codes and OrgIDs that were used to download CDS spreads and ESG scores from the Refinitiv Eikon database.

Refinitiv Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Discover the booming financial database market! This in-depth analysis reveals key trends, growth drivers, and leading companies shaping the future of financial data, including real-time & historical databases. Explore market size, regional breakdowns, and future projections to 2033.

Discover the booming Financial Data Terminal Services market. This in-depth analysis reveals key trends, growth drivers, and leading companies shaping the future of financial data. Explore market size projections, regional breakdowns, and competitive landscapes for informed investment decisions. Learn about algorithmic trading, Fintech, and risk management's influence.

Refinitiv Asia Private Limited Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Refinitiv Costa Rica Liability Company Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

The Market Data Platform market is experiencing robust growth, driven by the increasing demand for real-time data analytics and the proliferation of sophisticated trading strategies across financial institutions. The market's expansion is fueled by several key factors: the rise of algorithmic trading, the need for faster and more accurate market information, the growing adoption of cloud-based solutions, and the increasing regulatory scrutiny demanding robust data management and compliance. The market is witnessing a shift towards integrated platforms offering a broader range of data sources, advanced analytics capabilities, and improved connectivity. This trend is being further accelerated by the increasing adoption of artificial intelligence (AI) and machine learning (ML) for enhanced data analysis and prediction. Companies like Bloomberg, Refinitiv, and TRDATA are major players, but the market is also witnessing increased competition from innovative technology providers offering specialized solutions and niche capabilities. The forecast period from 2025-2033 suggests substantial growth, driven by the continuous adoption of these solutions across various segments of the financial services industry. The regional distribution will likely favor North America and Europe initially, followed by a gradual increase in adoption rates across Asia-Pacific and other emerging markets. The competitive landscape is dynamic, with established players facing challenges from agile startups offering innovative solutions. The success of individual vendors depends on their ability to provide high-quality data, superior analytical capabilities, seamless integration with existing infrastructure, robust security features, and a commitment to regulatory compliance. While larger players dominate market share, smaller, specialized firms are capitalizing on the demand for specialized data sets and tailored analytical tools. The increasing focus on data security and privacy will impact vendors’ strategies, with enhanced security measures and data governance becoming crucial differentiating factors. Future growth will depend on the industry's continued embrace of technology and the further development of AI/ML-driven analytical applications within the Market Data Platform ecosystem. This growth will likely result in increased consolidation and strategic partnerships in the coming years, shaping the future competitive landscape significantly.

Refinitiv Manila Lseg Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Refinitiv Limited Representative Office In Vietnam Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Company fundamentals data provides the user with a company's current financial health and when combined historically, the financial 'life-story' of the company.

With LSEG's Hong Kong Stock Exchange Issuer Information feed Service (IIS), gain real-time trading news and announcements from HKEX listed companies.

Browse LSEG's Aftermarket Research, discover our range of data, indices & benchmarks. Our Data Catalogue offers unrivalled data and delivery mechanisms.

LSEG Transcripts and Briefs database includes verbatim representations and unbiased summaries of corporate and institutional events. Access the data.

The eMAXX North America dataset provides quarterly fixed income holdings for North American pension funds, mutual funds, and insurance companies. It includes details of managing firm and fund ownership, portfolio composition, and institutional investor contact information. The holdings include asset-backed securities, corporate and government bonds, mortgage-backed securities, and municipal bonds. The information is updated based on sources collected from regulatory websites, fund management company (FMC) websites, and direct submissions from FMCs. Data for each quarter is organized in 41 files. DATA AVAILABLE FOR YEARS: 1999-2024 The holdings data is at the quarterly level from the first quarter of 1999 through the fourth quarter of 2024. File format: ASCII text

This study examines the impact of patent activity on the idiosyncratic volatility (IVOL) of U.S. pharmaceutical companies, addressing a critical gap in the literature on the relationship between innovation and firm-specific risk. Using panel data from Thomson Reuters/Refinitiv covering 2,910 firms over 2005−2024, we employ the Fama-French 5-factor model to isolate firm-specific volatility and analyze how patent events and pharmaceutical development activities affect stock price risk. Our findings reveal a complex relationship between innovation and volatility that varies by development stage. While patent activity overall reduces idiosyncratic volatility, early and mid-stage development projects (Phase I and II) initially increase firm-specific risk, reflecting inherent uncertainties in drug development. Conversely, newly launched products significantly reduce volatility, indicating that risk mitigation occurs primarily at commercialization. These relationships remain robust during crisis periods, including the 2008−09 financial crisis and COVID-19 pandemic. The results provide valuable insights for investors seeking to assess pharmaceutical investment risks, managers optimizing innovation portfolios, and policymakers designing intellectual property frameworks. The study’s focus on the U.S. market and reliance on patent counts rather than quality measures suggest important avenues for future research across different regulatory environments and innovation metrics.

Refinitiv India Shared Services Pvt Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

The fixed income pricing data software market is experiencing robust growth, driven by increasing demand for accurate and efficient pricing solutions within the financial sector. The market's expansion is fueled by several key factors, including the rising complexity of fixed income instruments, stricter regulatory compliance requirements, and the growing adoption of advanced analytics and machine learning techniques for risk management and portfolio optimization. The market size, while not explicitly stated, can be reasonably estimated based on the presence of numerous established players like Bloomberg Industry Group and Refinitiv, suggesting a substantial market value – potentially in the billions of dollars. A compound annual growth rate (CAGR) of, let's assume, 8% (a conservative estimate considering market dynamics) over the forecast period (2025-2033) indicates a significant trajectory of growth. This expansion is further supported by ongoing technological advancements that enhance data processing speed and accuracy, making the software crucial for efficient trading and investment decision-making. Market segmentation, though not detailed, likely includes solutions tailored to specific asset classes (e.g., government bonds, corporate bonds, mortgage-backed securities), different user types (e.g., traders, portfolio managers, risk analysts), and varying levels of functionality (e.g., basic pricing, advanced analytics). Competitive pressures remain high, with established players facing challenges from emerging fintech companies offering innovative, cost-effective solutions. However, the market's overall growth trajectory is expected to remain positive, driven by continued technological innovation, regulatory pressures, and an increasing reliance on data-driven insights within the financial industry. The historical period (2019-2024) likely reflects a period of steady growth, laying the foundation for the anticipated accelerated expansion projected for the forecast period.